Participate in TD’s 18-month rotational associate program across the Analytics Insights & AI team

Apply advanced machine learning methods to conduct data-driven research

Identify opportunities and make tangible recommendations to senior management

Collaborate with business partners to optimize processes and support informed decision-making

Build creative machine learning solutions

Prepare structured and unstructured datasets through integration, cleaning, feature engineering, scaling, and transformation

Build production-scale solutions and work with deployment teams to integrate them into business operations

Use visualization methods to represent results and communicate outcomes to technical and non-technical audiences

Work on initiatives that improve decisions, processes, systems, and applications supporting TD’s businesses

Requirements

Must have graduated or be graduating between May 2025 and May 2027

Graduate degree in Mathematics, Statistics, Computer Science, Engineering, Data Analytics, or a related field

Solid statistical and analytical skills and passion for analytics

Experience analyzing large data sets, drawing insights and inferences, and communicating outputs

Experience in one or more of Big Data, programming, data/text mining, optimization, algorithm development, automation, data visualization, or simulation

Experience in one or more of machine learning, predictive analytics, regression, logit modeling, model development, discrete choice, propensity modeling, natural language processing, or generative AI

Experience in one or more of software engineering, code quality, version control, or object-oriented programming





Strong technical knowledge and experience with one or more of Python, R, Spark, SQL, SAS, Java, or C/C++

Technical knowledge or experience with cloud environments, data management, and project management is a plus

Strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills

Ability to participate as part of a team with targeted deliverables

Ability to remain current with emerging trends and technologies in Data Science

Must reside in Canada, the country where the role is located

Applications must include a transcript, cover letter of one letter-sized page or less, and a resume of maximum two pages

Core Competencies

Demonstrates expertise in advanced machine learning methods, data analysis, and visualization techniques to drive data-driven decision-making. Proficient in programming languages and tools essential for building and deploying production-scale machine learning solutions.

Highest-signal resume keywords

Machine Learning

Data Analysis

Python

Data Visualization

Statistical Modeling

Hard Skills

Machine Learning

Data Analysis

Data Visualization

Statistical Modeling

Feature Engineering

Big Data

Predictive Analytics

Regression

Natural Language Processing

Software Engineering

Soft Skills

Leadership

Communication

Problem-Solving

Team Collaboration

Initiative

Industry Keywords

Data Science

Analytics

AI

Data-Driven Research

Optimization

Algorithm Development

Automation

Simulation

Feature Engineering

Emerging Technologies

Tools & Technologies

Python

R

Spark

SQL

SAS

Java

C/C++

Cloud Environments

Data Management

Project Management

📌 Applied Machine Learning Scientist, Graduate (Winnipeg)
🏢 Jobtailor
📍 Winnipeg